Characterization of crude oils using fluorescence lifetime data

Ryder, Alan G.; Glynn, Thomas J.; Feely, Martin; Barwise, A.J.G.

doi:10.1016/s1386-1425(01)00579-0

Cited by 48 publications

(62 citation statements)

References 30 publications

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“…The fact that there are very large numbers of interacting fluorophores produces very complex decay behaviour. In previous work from this laboratory [9][10][11][12][13][14] the intensity averaged lifetime calculated from a multiple discrete lifetime model was used. However, it should be noted that while this model is not an accurate descriptor of the emitting species, it had utility in describing general trends in the photophysics of crude oils.…”

Section: Resultsmentioning

confidence: 99%

“…Previous studies in our laboratory using Time Correlated Single Photon Counting (TCSPC) methods have shown that one can correlate various aspects of oil composition with lifetime changes [9][10][11][12][13][14]. Unfortunately, these studies also showed that accurate quantitative measurements were not possible using intensity averaged lifetimes calculated from TCSPC data.…”

Section: Introductionmentioning

confidence: 96%

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Frequency Domain Fluorescence Lifetime Study of Crude Petroleum Oils

2008

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Abstract:Frequency domain (FD) fluorescence lifetime data was collected for a series of 20 crude petroleum oils using a 405 nm excitation source and over a spectral range of ~426 to ~650 nm. Average fluorescence lifetimes were calculated using three different models: discrete multi-exponential, Gaussian distribution, and Lorentzian distribution. Fitting the data to extract accurate average lifetimes using the various models proved easier and less time consuming for the FD data than with Time Correlated Single Photon Counting (TCSPC) methods however the analysis of confidence intervals to the computed average lifetimes proved cumbersome for both methods. The uncertainty in the average lifetime was generally larger for the discrete lifetime multi-exponential model when compared to the distributionbased models. For the lifetime distributions, the data from the light crude oils with long lifetimes generally fit to a single decay term. Heavier oils with shorter lifetimes required This is the author version of the paper: Frequency Domain Fluorescence Lifetime Study of Crude Petroleum Oils. P. Owens, A.G. Ryder, and N.J.F. Blamey. Journal of Fluorescence, 18(5), 997-1006Fluorescence, 18(5), 997- , (2008. DOI: 10.1007/s10895-008-0330-5Page 2 of 21 multiple decay terms. The actual value for the average lifetime is more dependant on the exact fitting model employed than the data acquisition method used. Correlations between average fluorescence lifetimes and physical and chemical parameters of the crude oils were made with a view to developing a quantitative model for predicting the gross chemical composition of crude oils. It was found that there was no significant benefit gained by using FD over TCSPC other than more rapid data analysis in the FD case. For the FD data the Gaussian distribution model for fluorescence lifetime gave the best correlations with chemical composition allowing a qualitative correlation to some bulk oil parameters.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

Frequency Domain Fluorescence Lifetime Study of Crude Petroleum Oils

2008

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“…However, these techniques are still tedious (Parmenyer et al, 2002), time consumingand require extensive sample preparation and testing procedure, which could alter the sample properties irreversibly (Ryder et al, 2002). The need to develop a nonexpensive, simple and rapid on-site technique that can be used for general compositional analysis and in the field of reservoir geochemistry has led some workers to use vibrational spectroscopic instruments.…”

Section: Introductionmentioning

confidence: 99%

A Rapid Method of Crude Oil Analysis Using FT-IR Spectroscopy

Abdulkadir¹,

Uba²,

A.³

et al. 2016

Nig J Bas App Sci

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This study determines the viability of the use of Fourier Transform Infrared (FTIR) spectroscopy as a substitute to traditional petroleum geochemical methods for crude oil characterisation. IR spectra of Crude oil sample containing a mixture of both degraded (sample 151) and non-degraded (sample 145) oils at different concentrations were determined. The IR fingerprints agree with results obtained from GC analysis. Partial least square regression analysis was used to predict saturates for omitted mixtures (10 and 80% 151) and also saturates of five other samples (i.e. 145, 149, 172, H1 and AL10) within acceptable error limits. It therefore, follows, that although some improvements might still need to be made, FTIR spectroscopy can indeed be a viable, simple, cheaper and faster technique of crude oil characterisation compared with the traditional fractionation methods.

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“…This is due to the excitation of different populations of fluorophores, which changes the fluorescence emission, the collisional quenching, and the energy transfer rates. 19,20,21 The red-green quotient Q (Q = I 650nm /I 500nm ), and the wavelength of maximum fluorescence emission intensity λ max , were found to correlate with API gravity and gross chemical composition (%w saturates, aromatics, polars and asphaltenes) for a set of HCFI synthesized using a sample set of Canadian crude oils. 22 Both Q and λ max were also shown to correlate well with gross chemical composition of Athabaska bitumen sub-fractions.…”

Section: Introductionmentioning

confidence: 99%

“…Photobleaching of synthetic and natural HCFI has been shown to cause changes in the fluorescence emission intensity. 28 Time resolved fluorescence techniques, 29 which have also been employed for characterization of petroleum products, are not only largely free of these artefacts, 21,30 but in addition contain information that is lost in the time-averaging process inherent in steady-state methods. In the case of crude oils, which are complex mixtures of fluorophores, timeresolved fluorescence measurements offer the best approach for fully revealing the influence of quenching and energy transfer processes on fluorescence behaviour.…”

Section: Introductionmentioning

confidence: 99%

Time-Resolved Fluorescence Microspectroscopy for Characterizing Crude Oils in Bulk and Hydrocarbon-Bearing Fluid Inclusions

et al. 2004

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Abstract:Time-resolved fluorescence data was collected from a series of 23 bulk crude petroleum oils and 6 microscopic Hydrocarbon-bearing Fluid Inclusions (HCFI). The data was collected using a Diode Laser Fluorescence Lifetime Microscope (DLFLM) over the 460-700 nm spectral range using a 405 nm excitation source. The correlation between intensity averaged lifetimes (τ ) and chemical and physical parameters was examined with a view to developing a quantitative model for predicting the gross chemical composition of hydrocarbon liquids trapped in HCFI. It was found that τ is nonlinearly correlated with the measured polar and corrected alkane concentrations, and that oils can be classified on this basis. However, these correlations all show a large degree of scatter, preventing accurate quantitative prediction of gross chemical composition of the oils. Other parameters such as API gravity and, asphaltene, aromatic, and sulphur concentrations do not correlate well with τ measurements. Individual HCFI were analysed using the DLFLM and time resolved fluorescence measurements were compared with τ data from the bulk oils. This enabled the fluid within the inclusions to be classified as either low alkane/high polar or high alkane/low polar. Within the high alkane/low polar group, it was possible to clearly discriminate HCFI from different locales and to see differences in the trapped hydrocarbon fluids from a single geological source. This methodology offers an alternative method for classifying the hydrocarbon content of HCFI, and observing small variations in the trapped fluid composition, that is less sensitive to fluctuations in the measurement method than fluorescence intensity based methods.

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Characterization of crude oils using fluorescence lifetime data

Cited by 48 publications

References 30 publications

Frequency Domain Fluorescence Lifetime Study of Crude Petroleum Oils

Frequency Domain Fluorescence Lifetime Study of Crude Petroleum Oils

A Rapid Method of Crude Oil Analysis Using FT-IR Spectroscopy

Time-Resolved Fluorescence Microspectroscopy for Characterizing Crude Oils in Bulk and Hydrocarbon-Bearing Fluid Inclusions

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